Politehnika i dizajn, Vol. 13 No. 2, 2025.
Izvorni znanstveni članak
https://doi.org/10.19279/TVZ.PD.2025-13-2-16
GENDER RECOGNITION BASED ON HANDWRITING
Mauro Dropulić
; Filozofski fakultet Sveučilišta u Zagrebu, Ulica Ivana Lučića 3, Zagreb, Hrvatska, student
Josip Dujmenović
orcid.org/0009-0009-3125-1308
; Filozofski fakultet Sveučilišta u Zagrebu, Ulica Ivana Lučića 3, Zagreb, Hrvatska, student
Tibor Komar
; Filozofski fakultet Sveučilišta u Zagrebu, Ulica Ivana Lučića 3, Zagreb, Hrvatska
Sažetak
The connection between gender and handwriting has been studied for over a hundred years and there is a significant number of papers written on this topic. This paper further investigated this connection by introducing the age of the manuscript author and the age of the person guessing the gender from the manuscript as additional variables. Respondents were divided into categories depending on gender and age, and accuracy in guessing gender according to handwriting was observed. Previous work has shown that humans can correctly guess the gender of the author from the handwriting to a certain extent, and the relatively high accuracy of artificial intelligence in guessing the gender from the handwriting implies that the link between gender and handwriting is not only real but also large. The results of this work showed the typical accuracy of the respondents in guessing the gender according to the handwriting, and also indicate that the age of the manuscript author is an existing variable, considering that the respondents in this experiment, regardless of gender and age, guessed the gender of younger manuscript authors more accurately.
Ključne riječi
Hrčak ID:
344932
URI
Datum izdavanja:
21.10.2025.
Posjeta: 221 *